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It is empirically observed that the winning ticket networks preserve the Ramanujan graph property and achieve a high accuracy even when the layers are sparse.
Ramanujan graphs are robust expanders which lead to sparse but highly-connected networks, and thus aid in studying the winning tickets. A feed- forward neural�...
All the graphs have the same degree. 2. The number of vertices goes to infinity. 3. There exists a positive lower bound ϵ such that the expansion constant�...
It is empirically observed that the winning ticket networks preserve the Ramanujan graph property and achieve a high accuracy even when the layers are sparse.
Jan 28, 2022Response: The primary contribution of the paper is the empirical demonstration that winning tickets often satisfy the Ramanujan graph property.
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Mar 7, 2024The validity of LTH has been studied based on Ramanujan graph properties in terms of certain spectral bounds (Pal et al., 2022) . Accordingly, a�...
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